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Volumn , Issue , 2008, Pages 619-624

A comparison of three different methods for classification of breast cancer data

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFIERS; ELECTRIC LOADS; LEARNING ALGORITHMS; MULTILAYERS; ROBOT LEARNING; TUMORS;

EID: 60649087331     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2008.97     Document Type: Conference Paper
Times cited : (43)

References (11)
  • 2
    • 22944462678 scopus 로고    scopus 로고
    • Naive bayes classifiers that perform well with continuous variables
    • Springer Berlin/Heidelberg
    • R. Bouckaert. Naive bayes classifiers that perform well with continuous variables. In Al 2004: Advances in Artificial Intelligence, volume 3339, pages 1089-1094. Springer Berlin/Heidelberg, 2005.
    • (2005) Al 2004: Advances in Artificial Intelligence , vol.3339 , pp. 1089-1094
    • Bouckaert, R.1
  • 3
    • 19344364327 scopus 로고    scopus 로고
    • Predicting breast cancer survivability: A comparison of three data mining methods
    • D. Delen, G. Walker, and A. Kadam. Predicting breast cancer survivability: a comparison of three data mining methods. Artificial Intelligence in Medicine, 34 (2):113-127, 2005.
    • (2005) Artificial Intelligence in Medicine , vol.34 , Issue.2 , pp. 113-127
    • Delen, D.1    Walker, G.2    Kadam, A.3
  • 8
    • 33847410499 scopus 로고    scopus 로고
    • Kernel-based naive bayes classifier for breast cancer prediction
    • J. Nahar. Y.-P. Chen, and S. Ali. Kernel-based naive bayes classifier for breast cancer prediction. Journal of Biological System, 15 (1): 17-25, 2007.
    • (2007) Journal of Biological System , vol.15 , Issue.1 , pp. 17-25
    • Nahar, J.1    Chen, Y.-P.2    Ali, S.3
  • 9
    • 60649096815 scopus 로고    scopus 로고
    • J. Quinlan. C4.5: Programs for Machine Learning. Morgan Kaufmann, Los Altos, California, 1993.
    • J. Quinlan. C4.5: Programs for Machine Learning. Morgan Kaufmann, Los Altos, California, 1993.
  • 10
    • 0000461385 scopus 로고
    • Algorithm as 181: The w test for normality
    • P. Royston. Algorithm as 181: The w test for normality. Applied Statistics, 31:176180, 1982.
    • (1982) Applied Statistics , vol.31 , pp. 176180
    • Royston, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.